Developing consistent data and methods to measure the public health impacts of ambient air quality for Environmental Public Health Tracking: progress to date and future directions.
Developing consistent data and methods to measure the public health impacts of ambient air quality for Environmental Public Health Tracking: progress to date and future directions.
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DOI：
10.1007/s11869-009-0043-1
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发表时间：
2009-12
影响因子：
5.1
通讯作者：
Rager, Judy
中科院分区：
文献类型：
--
作者：
Talbot, Thomas O.;Haley, Valerie B.;Dimmick, W. Fred;Paulu, Chris;Talbott, Evelyn O.;Rager, Judy
州和国家一级的环境公共卫生跟踪(EPHT)工作人员正在开发全国一致的数据和方法，以评估臭氧和细颗粒物对哮喘和心肌梗死住院治疗的影响。试点项目证明了汇集州住院数据并将这些数据与美国环境保护局(EPA)基于统计的环境空气臭氧和细颗粒物估计联系起来的可行性。开发了用于进行病例交叉分析以估计浓度-反应(C-R)函数的工具。一次分析一种状态的缺点是，与它们的可信区间相比，影响相对较小。EPHT计划将探索在统计上结合来自全国各地的同行评议分析的结果的方法，以提供更强大的C-R功能和地方层面的健康影响估计。一个挑战将是在不披露机密信息的情况下，在精细的地理和时间尺度上定期分享这类分析的数据。另一个挑战将是开发考虑时间、空间或其他相关影响修正因素的C-R估计。
Environmental Public Health Tracking (EPHT) staff at the state and national levels are developing nationally consistent data and methods to estimate the impact of ozone and fine particulate matter on hospitalizations for asthma and myocardial infarction. Pilot projects have demonstrated the feasibility of pooling state hospitalization data and linking these data to The United States Environmental Protection Agency (EPA) statistically based ambient air estimates for ozone and fine particulates. Tools were developed to perform case-crossover analyses to estimate concentration–response (C-R) functions. A weakness of analyzing one state at a time is that the effects are relatively small compared to their confidence intervals. The EPHT program will explore ways to statistically combine the results of peer-reviewed analyses from across the country to provide more robust C-R functions and health impact estimates at the local level. One challenge will be to routinely share data for these types of analyses at fine geographic and temporal scales without disclosing confidential information. Another challenge will be to develop C-R estimates which take into account time, space, or other relevant effect modifiers.
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DOI：
10.1097/01.phh.0000338371.53242.0e
发表时间：
2008-11-01
影响因子：
3.3
作者：
Paulu, Chris;Smith, Andy E.
通讯作者：
Smith, Andy E.
影响因子：
13.6
作者：
Boldo, Elena;Medina, Sylvia;Eilstein, Daniel
通讯作者：
Eilstein, Daniel
影响因子：
2.1
作者：
Lu, Yun;Zeger, Scott L.
通讯作者：
Zeger, Scott L.
影响因子：
3.8
作者：
Le Tertre, A;Schwartz, J;Touloumi, G
通讯作者：
Touloumi, G
影响因子：
10.4
作者：
Dominici F;McDermott A;Zeger SL;Samet JM
通讯作者：
Samet JM